NCBL

University of Alberta

Hongrui Yi

 ABOUT ME

I’m now an undergraduate student of Mechanical Engineering in both the University of Cincinnati in US and the Chongqing University in China (from a dual-degree program). Currently, I’m working as a summer intern in the University of Alberta under Mitacs Globalink Research Internship and China Scholarship Council (CSC).

SUPERVISOR

Dr. Hossein Rouhani

RESEARCH INTERESTS

  • Biological signal processing

  • Medical computer vision

  • Medical robots

PUBLICATIONS

  • Hongrui Yi, Quanchang Li, Hao Wang, etc., “Dual-kernel Driven Convolutional Sparse Learning for Bearing Transient Feature Enhancement”, Measurement.

  • Haoyu Wang, Hongrui Yi, Jie Liu, etc., “Integrated Treatment Planning in Percutaneous Microwave Ablation of Lung Tumors”, 2022 44rd Annual International Conference of the IEEE Engineering in Medicine & Biology Society.

  • Yulan Li, Hongrui Yi, Hao Wang, etc., “Parameterized Doppler Adaptive Correction for Wayside Acoustic Array Signal”, The Efficiency and Performance Engineering Network 2022.

  • Zhenyu Chen, Shenglan Liu, Hongrui Yi, etc., “Prediction Reliability Assessment Based on Mahalanobis Distance and GRU in the Application of Bearing RUL Analysis”, The Efficiency and Performance Engineering Network 2022.

AWARDS

  • China National Scholarship (2022)

  • Gold Prize (Team leader), the 7th China International College Students “Internet+” Competition (2021)

  • First Prize in the 14th National Competition on Energy Conservation and Emission Reduction (2021)

  • First Prize in the 12th User Experience Design Award (2020)

  • Second Prize in the 19th National College Students ROBOMASTER Competition (2020)

PROJECTS

Neuromuscular Control & Biomechanics Laboratory, University of Alberta

  • Implemented data transmission between sensor and computer and algorithm implementations (for joint angles and REBA score)

  • Participated in UX design and implementation

  • Established 3D representation (full body)

Institute of Medical Robotics, Shanghai Jiao Tong University

  • Conducted research on the range of microwave ablation and its algorithm through literature review

  • Designed the needle and base parts of the structure, developed the end tool application, and verified proper assembly of the robot

  • Established the medical image processing algorithm to read default parameters of lung images based on VTK/QT

 State Key Laboratory of Mechanical Transmissions, Chongqing University

  • Proposed dual-kernel driven convolution sparse learning algorithm with Python and MATLAB for more accuracy and less computational workload

  • Participated in the data processing of mechanical equipment condition monitoring and malfunction diagnosis algorithm based on the embedded intelligent system

  • Designed multi-source processing algorithm including image entropy analysis to monitor the state, operation, maintenance status, and early warning